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Title: SNEWPY: A Data Pipeline from Supernova Simulations to Neutrino Signals

Journal Article · · Journal of Open Source Software
 [1]; ORCiD logo [2];  [3];  [4]; ORCiD logo [5];  [6]; ORCiD logo [2];  [7];  [8]; ORCiD logo [9];  [10]; ORCiD logo [11]; ORCiD logo [8]; ORCiD logo [12]; ORCiD logo [13]; ORCiD logo [14]; ORCiD logo [15]; ORCiD logo [8];  [16]; ORCiD logo [17] more »; ORCiD logo [18]; ORCiD logo [19]; ORCiD logo [20]; ORCiD logo [21];  [2];  [22] « less
  1. Purdue University, West Lafayette, IN (United States); NC State University
  2. University of Rochester, NY (United States)
  3. California Institute of Technology (CalTech), Pasadena, CA (United States)
  4. Université de Paris (France)
  5. Université Libre de Bruxelles, Brussels (Belgium)
  6. Aix Marseille Univ. (France)
  7. University of North Carolina, Chapel Hill, NC (United States)
  8. North Carolina State University, Raleigh, NC (United States)
  9. University of Minnesota Duluth, MN (United States)
  10. Laurentian University, Ontario (Canada)
  11. Virginia Polytechnic Institute and State University (Virginia Tech), Blacksburg, VA (United States)
  12. INFN Sezione di Padova (Italy)
  13. Purdue University, West Lafayette, IN (United States)
  14. Ruhr-Universität Bochum (Germany)
  15. King’s College London (United Kingdom)
  16. Stockholm University (Sweden)
  17. University of Houston, TX (United States)
  18. Duke University, Durham, NC (United States)
  19. Joint Institute for Nuclear Research, Dubna (Russia)
  20. Oxford University (United Kingdom)
  21. Rice University, Houston, TX (United States)
  22. Georgia Institute of Technology, Atlanta, GA (United States)

Current neutrino detectors will observe hundreds to thousands of neutrinos from a Galactic supernovae, and future detectors will increase this yield by an order of magnitude or more. With such a data set comes the potential for a huge increase in our understanding of the explosions of massive stars, nuclear physics under extreme conditions, and the properties of the neutrino. However, there is currently a large gap between supernova simulations and the corresponding signals in neutrino detectors, which will make any comparison between theory and observation very difficult. SNEWPY is an open-source software package which bridges this gap. The SNEWPY code can interface with supernova simulation data to generate from the model either a time series of neutrino spectral fluences at Earth, or the total time-integrated spectral fluence. Data from several hundred simulations of core-collapse, thermonuclear, and pair-instability supernovae is included in the package. This output may then be used by an event generator such as sntools or an event rate calculator such as SNOwGLoBES. Additional routines in the SNEWPY package automate the processing of the generated data through the SNOwGLoBES software and collate its output into the observable channels of each detector. In this paper we describe the contents of the package, the physics behind SNEWPY, the organization of the code, and provide examples of how to make use of its capabilities.

Research Organization:
North Carolina State University, Raleigh, NC (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Nuclear Physics (NP)
Grant/Contract Number:
FG02-02ER41216
OSTI ID:
2349364
Journal Information:
Journal of Open Source Software, Journal Name: Journal of Open Source Software Journal Issue: 67 Vol. 6; ISSN 2475-9066
Publisher:
Open Source Initiative - NumFOCUSCopyright Statement
Country of Publication:
United States
Language:
English

References (6)

Array programming with NumPy journal September 2020
SciPy 1.0: fundamental algorithms for scientific computing in Python journal February 2020
Astropy: A community Python package for astronomy journal September 2013
SNEWS 2.0: a next-generation supernova early warning system for multi-messenger astronomy journal March 2021
sntools: An event generator for supernova burst neutrinos journal April 2021
The Astropy Project: Building an Open-science Project and Status of the v2.0 Core Package journal August 2018

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